Development of intra-oral automated landmark recognition (ALR) for dental and occlusal outcome measurements
Brénainn Woodsend, Eirini Koufoudaki, Ping Lin, Grant T McIntyre, Ahmed M El-Angbawi, Azad Aziz, William C. Shaw, Gunvor Semb, Gowri Vijay Reesu, Peter Anthony Mossey
This paper develops an automated landmark recognition system for dental models using machine learning, achieving 79.7% correct tooth identification with minimal error compared to manual methods.
European Journal of Orthodontics · Mar 15, 2021Peer-reviewedBioinformatics